Founding Software Engineer at well-funded industrial AI startup

Jack & Jill

San Francisco (CA)

On-site

USD 150,000 - 190,000

Full time

14 days+
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Job summary

Jack & Jill is seeking hands-on engineers to design and implement core AI systems that automate complex hardware engineering workflows and to build ML models capable of reasoning over geometric design data, deployed with enterprise customers. You will collaborate across teams to productionize agents and ensure reliable operation in real-world environments.

Requirements include a degree in Computer Science or Machine Learning with expertise in LLM architectures and agent research, and a proven

Qualifications

  • Requires a degree in Computer Science or Machine Learning with expertise in LLM architectures and agent research.
  • Candidates must have a proven track record of shipping production-grade ML systems using PyTorch or Hugging Face.

Responsibilities

  • Design and implement core AI systems to automate complex hardware engineering workflows.
  • Build ML models capable of reasoning over geometric design data and collaborate with enterprise customers for production deployment.

Skills

LLM Architectures
Agent Research
PyTorch
Hugging Face
Information Retrieval
Geometric Data Processing
Machine Learning
Search Algorithms
Context Management
Indexing Approaches

Education

Bachelor's degree in Computer Science or Machine Learning

Tools

PyTorch
Hugging Face

Job description

Design and implement core AI systems and novel agents to automate complex hardware engineering workflows. Build ML models capable of reasoning over geometric design data and collaborate with enterprise customers for production deployment.

Requirements: Requires a degree in Computer Science or Machine Learning with expertise in LLM architectures and agent research. Candidates must have a proven track record of shipping production-grade ML systems using PyTorch or Hugging Face.

Key Skills: LLM Architectures, Agent Research, PyTorch, Hugging Face, Information Retrieval, Geometric Data Processing, Machine Learning, Search Algorithms, Context Management, Indexing Approaches

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